MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without
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MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting

14 June 2023

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Papers citing "MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting"

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Title
Kernel Quantile Embeddings and Associated Probability Metrics Masha Naslidnyk Siu Lun Chau F. Briol Krikamol Muandet 76 0 0 26 May 2025
A Unified View of Optimal Kernel Hypothesis Testing Antonin Schrab 87 3 0 10 Mar 2025
A Practical Introduction to Kernel Discrepancies: MMD, HSIC & KSD Antonin Schrab 77 1 0 04 Mar 2025
Particle Semi-Implicit Variational Inference Jen Ning Lim A. M. Johansen 124 7 0 30 Jun 2024
Robust Kernel Hypothesis Testing under Data Corruption Antonin Schrab Ilmun Kim 107 4 0 30 May 2024
To smooth a cloud or to pin it down: Guarantees and Insights on Score Matching in Denoising Diffusion Models Francisco Vargas Teodora Reu A. Kerekes Michael M Bronstein DiffM 105 1 0 16 May 2023
Compress Then Test: Powerful Kernel Testing in Near-linear Time Carles Domingo-Enrich Raaz Dwivedi Lester W. Mackey 151 10 0 14 Jan 2023
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 358 4,115 0 17 Jun 2020